1. What is artificial intelligence (AI)?
2. What are the two main types of AI?
3. How does AI differ from traditional programming?
4. What is machine learning?
5. What is the difference between supervised and unsupervised learning?
6. Can you explain what a neural network is?
7. What is deep learning?
8. What role do algorithms play in AI?
9. How do AI systems learn from data?
10. What is the Turing test?
11. Who is considered the father of AI?
12. What is natural language processing (NLP)?
13. Can you give an example of AI in everyday life?
14. What are some common applications of AI?
15. What is computer vision?
16. How does reinforcement learning work?
17. What are chatbots?
18. What is the difference between AI and machine learning?
19. What is a dataset?
20. Why is data important for training AI models?
21. What is overfitting in machine learning?
22. What is underfitting in machine learning?
23. What is a feature in machine learning?
24. Can AI have emotions?
25. What is ethical AI?
26. How do biases affect AI systems?
27. What is an autonomous system?
28. What is a decision tree?
29. How does AI impact job markets?
30. What is robotics?
31. What is a neural network layer?
32. How does the backpropagation algorithm work?
33. What is transfer learning?
34. What are hyperparameters in machine learning?
35. What is a confusion matrix?
36. What is the difference between classification and regression?
37. What is a support vector machine?
38. What is reinforcement learning?
39. What is a generative adversarial network (GAN)?
40. What is a convolutional neural network (CNN)?